以語意為基礎的異質性裝置網頁內容調適架構

機構典藏 > College of Business and Management > Graduate Institute & Department of Information Management > Thesis > Item 987654321/34042

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/34042

Title:	以語意為基礎的異質性裝置網頁內容調適架構
Other Titles:	A semantics-based content adaptation framework for heterogeneous devices
Authors:	何承澤;Ho, Cheng-ze
Contributors:	淡江大學資訊管理學系碩士班周清江;Jou, Chichang
Keywords:	網頁內容調適;裝置獨立;自動推論;語意網路;Content Adaptation;Device Independence;Automated Reasoning;Semantic Web
Date:	2006
Issue Date:	2010-01-11 04:49:42 (UTC+8)
Abstract:	隨著無線通訊科技的快速發展，除了利用桌上型電腦之外，越來越多人使用各式各樣不同的行動裝置搭配無線傳輸科技下載並且處理網際網路上大量的資訊。在這新的運算平台轉移之際，有兩項挑戰仍需被克服：首先，因為行動裝置必須滿足可攜帶性，在設計上體積不能太大，重量也不能過重，使得行動裝置在運算資源的擴充上受到限制功能無法與桌上型電腦相當；其次，行動裝置在軟硬體配備、網路支援等資源上之異質性造成同樣的一份文件，不能保證在每一台裝置上都能夠正確的顯示且沒有資訊遺失的問題。如此之限制及多樣性造成了網頁內容提供者在設計網頁內容時的極大困擾。本研究利用語意網路豐富的資源描述能力，設計了一個以代理伺服器為基礎的網頁內容調適架構，透過對於使用者情境以及資源的語意描述協調出最符合客戶端裝置各項屬性的網頁內容，銜接行動裝置在存取網際網路資源時因為各種軟硬體限制所造成的鴻溝。透過推論機制的使用，實作一個具通透性、彈性、可擴充性的網頁內容調適系統，達到網頁單一版本、自我調適等功能，間接落實裝置獨立、網頁無障礙等原則。 With the rapid development of wireless communication technology, in addition to desktop computers, more and more computer users increasingly take advantage of various mobile devices to access web resources from internet. The shift from predominantly deskbound workforce to mobile workforce is an illustration of the impact of ubiquitous computing. To meet such trend, we think two challenges need to be resolved: firstly, to support portability, the size of mobile devices must be small, and their weight should be light. Due to such characteristics, mobile devices are limited in computation capability. Secondly, due to the heterogeneity of devices, one document could be displayed well in one device, but messed up in another. While browsing web using mobile devices , users will suffer from distractions like information lost, broken image, etc. We design and implement a Content Adaptation prototype system to bridge over the challenges to the mobile computing paradigm. By exploiting Semantic Web technology, device capabilities and user preferences could be extracted and inferenced by inference engine to determine proper transcoding parameters. We obtain a Content Adaptation System with transparency, flexibility, and scalability benefits.
Appears in Collections:	[Graduate Institute & Department of Information Management] Thesis

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